Security & Privacy
Most AI tools send your data to the cloud. Stride does the opposite — the entire system runs on a self-contained appliance inside your own environment. Privacy isn't a promise in a contract; it's a property of the architecture.
The AI engine, the standards library, the database, and the application all run on a single unit on your network. There is no cloud round-trip and no external dependency to process your books.
Your data is kept separate from Stride's general accounting knowledge and is used only to tailor your own system. This separation is enforced at the infrastructure level — not left to policy alone.
Sensitive stores are encrypted at rest and segregated by function with separate keys. Your trust relationship with your existing GL is unchanged — Stride doesn't expand your data surface.
Audit Trail
Every posted entry carries a complete provenance record — and that record can never be quietly overwritten.
The audit trail is append-only. Restatements are recorded as new versions, preserving the full history of how each conclusion was reached. That makes Stride's output defensible under review and gives auditors a clear, traceable line from a transaction to a financial statement.
Captured with every entry
Governance
Outputs flow into financial statements, so the bar for deployment is uncompromising.
Every model version — at launch, after a standards update, or after on-site refinement — must clear a full battery of validation gates before it can reach production. If any threshold isn't met, it doesn't deploy.
When standards change, updates arrive with documentation of exactly what changed and why. You review and approve before anything is deployed to your environment.
A new model only replaces the current one after it passes validation — and the previous version stays active until it does. Updates are seamless and never untested.
Access & Identity
Stride is simply another secure resource on your network — accessed through the browser and protected by the controls you already run.
Data boundary
We're glad to walk through deployment, data boundaries, and governance in detail.